卡尔曼滤波在低轨卫星精密定轨中的应用

星上计算机的处理能力不断提高,地基控制系统资源日益紧张,这些都对卫星自主定轨提出了迫切的要求,利用卡尔曼滤波进行卫星自主定轨将具有十分广阔的应用前景。但由于低轨卫星受摄动力较大,使得其动力学方程十分复杂,本文对如何建立适当的模型进行了分析。标准卡尔曼滤波只有在满足一定约束条件时,才能得到最优解。但利用星载GPS进行卫星定轨时,这些约束条件并不能得到完全的满足,针对这些问题本文讨论了相关噪声和滤波发散,观测值粗差等问题。

The Application of Kalman Filtering to GPS-based Autonomous Orbit Determination for LEOS

With the improvement of the computer on the satellite,and lack of the ground-based control system,the autonomous orbit Determination for LEOS will have a good prospect. Because the LEOS suffer to large sum of perturbation forces,the movement equation is complicate. The paper discusses how to built proper model. Standard kalman filtering can get optimal resolutions when some conditions are satisfied. But in this paper the conditions can not be satisfied. This paper discusses related noise,filtering divergence,observation gross error and so on.